AI model predicting two-year risk of common heart disorder can easily be integrated into health care workflow

AFib (short for atrial fibrillation), a common heart rhythm disorder in adults, can have disastrous consequences, including life-threatening blood clots and stroke if left undetected or untreated. A recent study demonstrates that UNAFIED, a highly accurate artificial intelligence (AI) prediction model which uses machine learning to parse information acquired from a patient’s electronic health record (EHR) to predict whether a patient has or might develop detectable AFib within the following two years, can be easily integrated into the health care workflow.

Do weekends really affect surgical outcomes?

Researchers from Houston Methodist Hospital, UCLA, the University of Toronto, and others have tried to answer a longstanding fear that undergoing surgery on a Friday leads to higher levels of complications or even death. Their analysis of data from 429,691 patients has revealed higher rates of complications, readmissions, and mortality in the days and months following surgery compared to those who had procedures performed after the weekend.

Exercise and healthy eating together provide best protection against post-menopause heart disease risk, study finds

Researchers at the University of Jyväskylä’s Faculty of Sport and Health Sciences have found that women who exhibit disturbed eating behaviors and engage in low physical activity tend to have more central body fat and a higher risk of metabolic low-grade inflammation. This condition increases the risk of cardiovascular diseases, which become more prevalent after menopause. However, the combined effect of exercise and healthy eating behavior offers the most effective protection against inflammation and may also reduce it after menopause.